the best learning is by doing”), it's important to get your hands dirty and start training. You'll learn how to collect, cleanse, and organize data, and you'll become familiar with the ins and outs of various machine learning tools. Much of this is familiar to more technical SEOs, but the industry is also developing tools to help those who aren't as technically inclined. I have compiled some resources below that are great for understanding this space. Recent technologies of interest It is important to understand that the vast majority of machine
learning is not about creating human-level AI, but rather about using data to solve real problems. Here are some examples of how this is happening recently. NeuralTalk2 NeuralTalk2 is a Torch model by Andrej Karpathy for generating natural language descriptions fax number list of given images. Imagine never having to write another ALT parameter again and have a machine do it for you. Facebook already integrates this technology. Microsoft Bots and Alexa Researchers master speech processing and begin to be able to
understand the meaning of words (given their context). This has profound implications for traditional websites when it comes to accessing information. Instead of browsing and searching, the website could be having a conversation with your visitors. In Alexa's case, there's no website at all, just the chat. natural language processing Considerable work is currently underway in the area of content translation and semantics. It goes far beyond traditional Markov chains and n-gram representations of text.